基于人工蜂群算法的绿色无线网络节能动态优化部署

Dynamical Energy-efficient Deployment Scheme for Green Cellular Network with Artificial Bee Colony

无线网络基站的大量部署导致系统能耗过高。在分析了历史系统负载信息的基础上,提出一种基于人工蜂群算法的绿色无线网络节能动态优化部署。该算法采用人工蜂群算法在现有无线网络基站部署的基础上,根据各个时间段的预测流量信息,寻找适合特定时间点负载的最优开关状态,得到当前网络在特定时间点的预部署。与此同时,该算法允许无线网络根据流量变化局部动态调整工作状态,确保无线网络系统能够快速响应负载变化。模拟结果表明,本算法能够在保证系统通信容量的同时,取得较好节能效果.

The large amount of base stations in wireless network cause high energy consumption. Base on the analyzation of historical load information,this paper proposes a dynamical energy-efficient deployment scheme for green cellular network base on the Artificial Bee Colony algorithm. With the predictive information of each time zone, this scheme employ artificial bee colony algorithm to search an optimal on/off solution of existing base station for specific time zones in a day. Meanwhile,the solution can be adjusted dynamically to responses traffic variation. The simulation results reveal that the proposed scheme can guarantee the capacity with good energy saving.